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Popular entry-level software title, metro location, and broad fullstack skillset increase applicant competition.
Common fullstack, cloud, and SQL skills are highly transferable across industries.
Mandatory .NET, SQL, and debugging skills moderately filter candidates despite no explicit years requirement.
Contribute to development and enhancement of enterprise-grade web applications for retail analytics using Angular, .NET/C#, RESTful APIs.
Support cloud and data engineering tasks involving Azure, SQL Server, Snowflake, including data pipelines and analytics workflows.
Write clean, maintainable code, perform debugging, write tests, and collaborate within Agile teams on category planning and retail solutions modules.
Bachelor’s or Master’s degree in Computer Science, IT, MCA, or Engineering.
Proficiency in C# (preferred), JavaScript, Python, and strong foundation in .NET development.
Strong debugging and problem-solving skills mandatory; ability to write complex SQL queries.
Work Experience Required: Recent graduates or final-year students preferred (explicit work experience not specified).
Comfortable with full-stack development or data/ML projects involving APIs, databases, and application workflows.
Analytical mindset with ability to debug issues independently and understand enterprise-level systems.
Familiarity or willingness to learn cloud platforms (Azure), modern frontend frameworks (Angular), and AI/ML concepts is advantageous.